package org.darcy.config;//package com.dragon.flow.dingtalk.scheduletask;

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.annotation.EnableScheduling;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.ThreadPoolExecutor;

@EnableAsync
@Configuration
@EnableScheduling
public class ThreadPoolTaskConfig {
	/**
	 * 默认情况下，在创建了线程池后，线程池中的线程数为0，当有任务来之后，就会创建一个线程去执行任务，
	 * 当线程池中的线程数目达到corePoolSize后，就会把到达的任务放到缓存队列当中；
	 * 当队列满了，就继续创建线程，当线程数量大于等于maxPoolSize后，开始使用拒绝策略拒绝
	 */

	/**
	 * 核心线程数(默认线程数)
	 */
	private static final int corePoolSize = 5;
	/**
	 * 最大线程数
	 */
	private static final int maxPoolSize = 50;

	/**
	 * 允许线程空闲时间(单位：默认为秒)
	 */
	private static final int keepAliveTime = 10;

	/**
	 * 缓冲队列大小
	 */
	private static final int queueCapacity = 200;

	/**
	 * 线程池名前缀
	 */
	private static final String threadNamePrefix = "Flow-pool-";

	@Bean("taskExecutor")
	public ThreadPoolTaskExecutor taskExecutor() {
		ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
		executor.setCorePoolSize(corePoolSize);
		executor.setMaxPoolSize(maxPoolSize);
		executor.setQueueCapacity(queueCapacity);
		executor.setKeepAliveSeconds(keepAliveTime);
		executor.setThreadNamePrefix(threadNamePrefix);
		// CallerRunsPolicy：由调用线程(提交任务的线程)处理该任务
		executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
		executor.initialize();
		return executor;
	}
}
